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16 results on '"Wright, N.C."'

1. Previous fracture and subsequent fracture risk: a meta-analysis to update FRAX

Author

Kanis, J.A., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, A., Nordström, P., O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Vandenput, L., Harvey, N.C., Lorentzon, M., and Leslie, W.D.

Published
2023
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6. Update of the fracture risk prediction tool FRAX: A systematic review of potential cohorts and analysis plan

Author

Vandenput, Lisbeth, Johansson, H., McCloskey, E. V., Liu, E., Akesson, Kristina E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, Charlotte, Bischoff-Ferrari, H.A., Biver, E., Bruyère, Olivier, Cauley, J.A., Center, J.R., Chapulat, R., Christiansen, C., Cooper, Cyrus, Crandall, Carolyn J., Cummings, Steven, da Silva, J.A.P., Dawson-Hughes, Bess, Diez-Pérez, A., Dufour, Alyssa B., Eisman, J.A., Elders, Petra J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.C., Goldstein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, Rosemary J., Huisman, Martijn, Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, Sundeep, Kiel, D.P., Koh, W-P, Koromani, F., Kotowicz, M.A., Kroger, H., Kwok, T., Lamy, Olivier, Langhammer, Arnulf, Larijani, Bagher, Lippuner, Kurt, Mellström, D, Merlijn, Thomas, Nordstrom, A., Nordstrom, P., O'Neill, T.W., Obermayer-Piestch, B., Harvey, Nicholas, Kanis, J A., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., Van Schoor, N.M., van Staa, T.P., Vilas, J.C., Wareham, N.J, Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Lorentzon, M., and Leslie, W.D.

Abstract

Summary: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. Conclusions: These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)).

Published
2022

7. Update of the fracture risk prediction tool FRAX : a systematic review of potential cohorts and analysis plan

Author

Vandenput, L., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, Annika, Nordström, Peter, O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Harvey, N.C., Lorentzon, M., Leslie, W.D., Kanis, J.A., Vandenput, L., Johansson, H., McCloskey, E.V., Liu, E., Åkesson, K.E., Anderson, F.A., Azagra, R., Bager, C.L., Beaudart, C., Bischoff-Ferrari, H.A., Biver, E., Bruyère, O., Cauley, J.A., Center, J.R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C.J., Cummings, S.R., da Silva, J.A.P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A.B., Eisman, J.A., Elders, P.J.M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C.-C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R.J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M.K., Khosla, S., Kiel, D.P., Koh, W.-P., Koromani, F., Kotowicz, M.A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., Mellström, D., Merlijn, T., Nordström, Annika, Nordström, Peter, O’Neill, T.W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E.S., Pasco, J.A., Rivadeneira, F., Schei, B., Schott, A.-M., Shiroma, E.J., Siggeirsdottir, K., Simonsick, E.M., Sornay-Rendu, E., Sund, R., Swart, K.M.A., Szulc, P., Tamaki, J., Torgerson, D.J., van Schoor, N.M., van Staa, T.P., Vila, J., Wareham, N.J., Wright, N.C., Yoshimura, N., Zillikens, M.C., Zwart, M., Harvey, N.C., Lorentzon, M., Leslie, W.D., and Kanis, J.A.

Abstract

Summary: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of

Published
2022
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12. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author

Zillikens, M.C., Demissie, S., Hsu, Y.H., Yerges-Armstrong, L.M., Chou, W.C., Stolk, L., Livshits, G., Broer, L., Johnson, T., Koller, D.L., Kutalik, Z., Luan, J., Malkin, I., Ried, J.S., Smith, A.V., Thorleifsson, G., Vandenput, L., Hua Zhao, J., Zhang, W., Aghdassi, A., Åkesson, K., Amin, N., Baier, L.J., Barroso, I., Bennett, D.A., Bertram, L., Biffar, R., Bochud, M., Boehnke, M., Borecki, I.B., Buchman, A.S., Byberg, L., Campbell, H., Campos Obanda, N., Cauley, J.A., Cawthon, P.M., Cederberg, H., Chen, Z., Cho, N.H., Jin Choi, H., Claussnitzer, M., Collins, F., Cummings, S.R., De Jager, P.L., Demuth, I., Dhonukshe-Rutten, RAM, Diatchenko, L., Eiriksdottir, G., Enneman, A.W., Erdos, M., Eriksson, J.G., Eriksson, J., Estrada, K., Evans, D.S., Feitosa, M.F., Fu, M., Garcia, M., Gieger, C., Girke, T., Glazer, N.L., Grallert, H., Grewal, J., Han, B.G., Hanson, R.L., Hayward, C., Hofman, A., Hoffman, E.P., Homuth, G., Hsueh, W.C., Hubal, M.J., Hubbard, A., Huffman, K.M., Husted, L.B., Illig, T., Ingelsson, E., Ittermann, T., Jansson, J.O., Jordan, J.M., Jula, A., Karlsson, M., Khaw, K.T., Kilpeläinen, T.O., Klopp, N., Kloth, JSL, Koistinen, H.A., Kraus, W.E., Kritchevsky, S., Kuulasmaa, T., Kuusisto, J., Laakso, M., Lahti, J., Lang, T., Langdahl, B.L., Launer, L.J., Lee, J.Y., Lerch, M.M., Lewis, J.R., Lind, L., Lindgren, C., Liu, Y., Liu, T., Ljunggren, Ö., Lorentzon, M., Luben, R.N., Maixner, W., McGuigan, F.E., Medina-Gomez, C., Meitinger, T., Melhus, H., Mellström, D., Melov, S., Michaëlsson, K., Mitchell, B.D., Morris, A.P., Mosekilde, L., Newman, A., Nielson, C.M., O'Connell, J.R., Oostra, B.A., Orwoll, E.S., Palotie, A., Parker, S., Peacock, M., Perola, M., Peters, A., Polasek, O., Prince, R.L., Räikkönen, K., Ralston, S.H., Ripatti, S., Robbins, J.A., Rotter, J.I., Rudan, I., Salomaa, V., Satterfield, S., Schadt, E.E., Schipf, S., Scott, L., Sehmi, J., Shen, J., Soo Shin, C., Sigurdsson, G., Smith, S., Soranzo, N., Stančáková, A., Steinhagen-Thiessen, E., Streeten, E.A., Styrkarsdottir, U., Swart, KMA, Tan, S.T., Tarnopolsky, M.A., Thompson, P., Thomson, C.A., Thorsteinsdottir, U., Tikkanen, E., Tranah, G.J., Tuomilehto, J., van Schoor, N.M., Verma, A., Vollenweider, P., Völzke, H., Wactawski-Wende, J., Walker, M., Weedon, M.N., Welch, R., Wichmann, H.E., Widen, E., Williams, FMK, Wilson, J.F., Wright, N.C., Xie, W., Yu, L., Zhou, Y., Chambers, J.C., Döring, A., van Duijn, C.M., Econs, M.J., Gudnason, V., Kooner, J.S., Psaty, B.M., Spector, T.D., Stefansson, K., Rivadeneira, F., Uitterlinden, A.G., Wareham, N.J., Ossowski, V., Waterworth, D., Loos, RJF, Karasik, D., Harris, T.B., Ohlsson, C., Kiel, D.P., Zillikens, M.C., Demissie, S., Hsu, Y.H., Yerges-Armstrong, L.M., Chou, W.C., Stolk, L., Livshits, G., Broer, L., Johnson, T., Koller, D.L., Kutalik, Z., Luan, J., Malkin, I., Ried, J.S., Smith, A.V., Thorleifsson, G., Vandenput, L., Hua Zhao, J., Zhang, W., Aghdassi, A., Åkesson, K., Amin, N., Baier, L.J., Barroso, I., Bennett, D.A., Bertram, L., Biffar, R., Bochud, M., Boehnke, M., Borecki, I.B., Buchman, A.S., Byberg, L., Campbell, H., Campos Obanda, N., Cauley, J.A., Cawthon, P.M., Cederberg, H., Chen, Z., Cho, N.H., Jin Choi, H., Claussnitzer, M., Collins, F., Cummings, S.R., De Jager, P.L., Demuth, I., Dhonukshe-Rutten, RAM, Diatchenko, L., Eiriksdottir, G., Enneman, A.W., Erdos, M., Eriksson, J.G., Eriksson, J., Estrada, K., Evans, D.S., Feitosa, M.F., Fu, M., Garcia, M., Gieger, C., Girke, T., Glazer, N.L., Grallert, H., Grewal, J., Han, B.G., Hanson, R.L., Hayward, C., Hofman, A., Hoffman, E.P., Homuth, G., Hsueh, W.C., Hubal, M.J., Hubbard, A., Huffman, K.M., Husted, L.B., Illig, T., Ingelsson, E., Ittermann, T., Jansson, J.O., Jordan, J.M., Jula, A., Karlsson, M., Khaw, K.T., Kilpeläinen, T.O., Klopp, N., Kloth, JSL, Koistinen, H.A., Kraus, W.E., Kritchevsky, S., Kuulasmaa, T., Kuusisto, J., Laakso, M., Lahti, J., Lang, T., Langdahl, B.L., Launer, L.J., Lee, J.Y., Lerch, M.M., Lewis, J.R., Lind, L., Lindgren, C., Liu, Y., Liu, T., Ljunggren, Ö., Lorentzon, M., Luben, R.N., Maixner, W., McGuigan, F.E., Medina-Gomez, C., Meitinger, T., Melhus, H., Mellström, D., Melov, S., Michaëlsson, K., Mitchell, B.D., Morris, A.P., Mosekilde, L., Newman, A., Nielson, C.M., O'Connell, J.R., Oostra, B.A., Orwoll, E.S., Palotie, A., Parker, S., Peacock, M., Perola, M., Peters, A., Polasek, O., Prince, R.L., Räikkönen, K., Ralston, S.H., Ripatti, S., Robbins, J.A., Rotter, J.I., Rudan, I., Salomaa, V., Satterfield, S., Schadt, E.E., Schipf, S., Scott, L., Sehmi, J., Shen, J., Soo Shin, C., Sigurdsson, G., Smith, S., Soranzo, N., Stančáková, A., Steinhagen-Thiessen, E., Streeten, E.A., Styrkarsdottir, U., Swart, KMA, Tan, S.T., Tarnopolsky, M.A., Thompson, P., Thomson, C.A., Thorsteinsdottir, U., Tikkanen, E., Tranah, G.J., Tuomilehto, J., van Schoor, N.M., Verma, A., Vollenweider, P., Völzke, H., Wactawski-Wende, J., Walker, M., Weedon, M.N., Welch, R., Wichmann, H.E., Widen, E., Williams, FMK, Wilson, J.F., Wright, N.C., Xie, W., Yu, L., Zhou, Y., Chambers, J.C., Döring, A., van Duijn, C.M., Econs, M.J., Gudnason, V., Kooner, J.S., Psaty, B.M., Spector, T.D., Stefansson, K., Rivadeneira, F., Uitterlinden, A.G., Wareham, N.J., Ossowski, V., Waterworth, D., Loos, RJF, Karasik, D., Harris, T.B., Ohlsson, C., and Kiel, D.P.

Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10(-8)) or suggestively genome wide (p < 2.3 × 10(-6)). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.

Published
2017

16. BEHAVIORAL EVIDENCE OF THERMAL STRESS FROM OVERHEATING IN UK BREEDING GRAY SEALS.

Author

Twiss, S.D., Wright, N.C., Dunstone, N., Redman, P., Moss, S., and Pomeroy, P.P.

Subjects
GRAY seal
Abstract

Gray seals (Halichoerus grypus) in the UK exhibit clear preferences for pupping close to pools of water on inland breeding sites. The reasons for this are unclear as seals are thought to derive all their water requirements from the metabolism of fat. Likewise, the prospect of seals overheating during the UK's cool, damp, autumnal breeding seasons, has seemed unlikely, but has not been previously explored. Here, we provide preliminary behavioral evidence of thermal stress in female gray seals breeding on the island of North Rona, Scotland. Video footage provided measures of proximity to, and the proportion of animals bathing in, pools in relation to meteorological data (temperature, mean sea-level pressure, rainfall, wind speed and direction) on four dates spread through a single breeding season. The proportion of females close to pools increased with pressure (warmer, drier conditions) and decreased on wetter days. In addition, analyses of colony-wide patterns of seal dispersion showed that females tended to be closer to pools of water at higher pressures and temperatures and at lower wind-speeds. These results provide the first evidence of thermal stress and behavioral thermoregulation through access to pools of water in a phocid breeding in temperate autumnal conditions. [ABSTRACT FROM AUTHOR]

Published
2002
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